Machine learning (ML) and deep learning (DL) content from the past 24 hours.
Note to readers: Big Analytics is now ML/DL.
Two widely read items from The Boston Consulting Group:
— Nikolas Lang et. al deliver a 10-part white paper on the impact of autonomous vehicles.
— Christine Barton et. al. explain why companies can’t turn customer insights into growth.
— Finnish company Tieto appoints a chatbot to its leadership team. No, I’m not kidding.
— Gartner’s Peter Sondergaard says that AI and ML are at the heart of digital transformation.
— Barry Schwartz interviews Google Search exec Gary Illyes, who says search marketers should keep their eyes on machine learning, Accelerated Mobile Pages (AMP), and structured data.
— Tim Cook describes Apple’s plans to use AI: increasing battery life; improving Apple Music recommendations; remembering where you park your car. Apple needs to get right on the music recommendations because right now they suck.
— In Dataconomy, Per Harald Borgen describes his experience learning machine learning in a year.
— Google releases a new version of its Course Builder software for online training.
— Scientists at Harvard teach AI how to ace an organic chemistry test. It doesn’t simply memorize the answers, but can solve problems it hasn’t seen before.
— Serdar Yegualp summarizes four Google data sets for machine learning:
- The Open Images Dataset
- YouTube – 8M Dataset
- Google Books Ngrams
- Google Trends Datastore
He also notes the Google Public Data Directory, which offers a portal to data sets from providers around the world.
Methods and Techniques
— Ariful Islam Mondal explains response modeling with machine learning in R.
— Nick Ismail explains how companies can use machine learning to build B2B relationships.
— Andrew Oliver proposes dropping seven technologies from the Big Data ecosystem: MapReduce, Storm, Pig, Java, Tez, Oozie, and Flume. He forgets to mention Mahout, which is forgivable since nobody uses it.
— datango, a division of PARIS AG, launches a business process support bot.
— SYSTRAN announces beta availability of a new translation engine branded as Pure Neural Machine Translation (PNMT.) The system offers real-time translation in more than thirty languages.